Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combinatorial pattern discovery for scientific data: some preliminary results
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Similarity-based queries for time series data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
General match: a subsequence matching method in time-series databases based on generalized windows
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A curvature-based multiresolution automatic karyotyping system
Machine Vision and Applications
Joint Classification and Pairing of Human Chromosomes
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Toward a completely automatic neural-network-based human chromosomeanalysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Interactive structured output prediction: application to chromosome classification
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A modular framework for the automatic classification of chromosomes in Q-band images
Computer Methods and Programs in Biomedicine
A chromosome image recognition method based on subregions
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
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Automated chromosome classification is an essential task in cytogenetics and has been an important pattern recognition problem. Numerous attempts were made in the past to characterize chromosomes for the purposes of clinical and cancer cytogenetics research. It is important to determine good features and develop feature extraction schemes for chromosome classification. In this paper we propose efficient approaches for medial axis determination and profile matching of human chromosomes without identifying centromeres. The medial axis determination is based on simple cross-section analysis. The features of the band profile obtained along the axis are then used to classify a chromosome based on a subsequence matching technique. Using a special indexing structure, we are able to perform fast similarity search and dynamic insertion and deletion over the established subsequence database of chromosome profiles. According to the experimental results, the developed adaptive system can automatically and efficiently determine the medial axis of a given chromosomes, and achieve satisfactory classification results.